OBJECTIVE: To identify overlapping and unique grey (GM) and white matter (WM) signatures within the frontotemporal lobar degeneration (FTLD) continuum, and discriminate likely FTLD-TAU and FTLD-TDP patients using structural and diffusion tensor (DT) magnetic resonance imaging (MRI). METHODS: T1-weighted and DT MRI were collected from 121 subjects: 35 motor neuron disease (MND), 14 behavioral variant of frontotemporal dementia, 12 semantic and 11 nonfluent primary progressive aphasia, 21 progressive supranuclear palsy syndrome patients, and 28 healthy controls. Patterns of GM atrophy were established using voxel-based morphometry. Tract-based spatial statistics was used to perform a WM voxelwise analysis of mean diffusivity and fractional anisotropy. RESULTS: In all clinical FTLD phenotypes, the pattern of WM damage was more distributed than that of GM atrophy. All patient groups, with the exception of MND cases with a pure motor syndrome, shared a focal GM atrophy centered around the dorsolateral and medial frontal cortex and a largely overlapping pattern of WM damage involving the genu and body of the corpus callosum and ventral frontotemporal and dorsal frontoparietal WM pathways. Surrounding this common area, phenotype (symptom)-specific GM and WM regions of damage were found in each group. CONCLUSIONS: In the FTLD spectrum, WM disruption is more severe than GM damage. Frontal cortex and WM pathways represent the common target of neurodegeneration in these conditions. The topographic pattern of damage supports a "prion-like" protein propagation through WM connections as underlying mechanism of the stereotyped progression of FTLD.

MRI signatures of the frontotemporal lobar degeneration continuum

CHIO', Adriano;
2015-01-01

Abstract

OBJECTIVE: To identify overlapping and unique grey (GM) and white matter (WM) signatures within the frontotemporal lobar degeneration (FTLD) continuum, and discriminate likely FTLD-TAU and FTLD-TDP patients using structural and diffusion tensor (DT) magnetic resonance imaging (MRI). METHODS: T1-weighted and DT MRI were collected from 121 subjects: 35 motor neuron disease (MND), 14 behavioral variant of frontotemporal dementia, 12 semantic and 11 nonfluent primary progressive aphasia, 21 progressive supranuclear palsy syndrome patients, and 28 healthy controls. Patterns of GM atrophy were established using voxel-based morphometry. Tract-based spatial statistics was used to perform a WM voxelwise analysis of mean diffusivity and fractional anisotropy. RESULTS: In all clinical FTLD phenotypes, the pattern of WM damage was more distributed than that of GM atrophy. All patient groups, with the exception of MND cases with a pure motor syndrome, shared a focal GM atrophy centered around the dorsolateral and medial frontal cortex and a largely overlapping pattern of WM damage involving the genu and body of the corpus callosum and ventral frontotemporal and dorsal frontoparietal WM pathways. Surrounding this common area, phenotype (symptom)-specific GM and WM regions of damage were found in each group. CONCLUSIONS: In the FTLD spectrum, WM disruption is more severe than GM damage. Frontal cortex and WM pathways represent the common target of neurodegeneration in these conditions. The topographic pattern of damage supports a "prion-like" protein propagation through WM connections as underlying mechanism of the stereotyped progression of FTLD.
2015
36
7
2602
2614
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0193/issues
Amyotrophic lateral sclerosis; Diffusion tensor MRI; Frontotemporal dementia; Frontotemporal lobar degeneration; Motor neuron disease; Primary progressive aphasia; Progressive supranuclear palsy; White matter; Adult; Aged; Aged, 80 and over; Atrophy; Diffusion Tensor Imaging; Female; Frontotemporal Dementia; Frontotemporal Lobar Degeneration; Gray Matter; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Motor Neuron Disease; Primary Progressive Nonfluent Aphasia; Supranuclear Palsy, Progressive; White Matter; Neurology (clinical); Anatomy; Neurology; Radiology, Nuclear Medicine and Imaging; Radiological and Ultrasound Technology; Medicine (all)
Agosta, Federica; Galantucci, Sebastiano; Magnani, Giuseppe; Marcone, Alessandra; Martinelli, Daniele; Antonietta Volontè, Maria; Riva, Nilo; Iannaccone, Sandro; Ferraro, Pilar M.; Caso, Francesca; Chiò, Adriano; Comi, Giancarlo; Falini, Andrea; Filippi, Massimo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1563256
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